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Search - "numpy"
2010: PHP, CSS, Vanilla JS, and a LAMP Server.
Ah, the simple life.
2016: Node.js, React, Vue, Angular, AngularJS, Polymer, Sass, Less, Gulp, Bower, Grunt.
I can't handle this, I'm shifting domains to Machine Learning.
2017: Numpy, Scipy, TensorFlow, Theano, Keras, Torch, CNNs, RNNs, GANs and LOTS AND LOTS OF MATH!
Okay, okay. Calm down there fella.
Python Tools to Get Started with Machine Learning
SciPy - the most fundamental library with essential packages such as NumPy, matplotlib, Pandas, and SymPy.
NumPy - gives you the ability to play with your data as 'arrays' using some powerful array functions and linear algebra functions. Very essential since most computing is done with arrays of numbers.
Matplotlib - to visualize data and model outputs using 2D plotting with some 3D functionality.
Pandas - a highly flexible package which introduces dataframes to Python, a type of in-memory data table. Makes it easy to understand the data's structure and provides easy to use SQL-like commands to play with the data.
SymPy - is a package used for symbolic mathematics and computer algebra.
StatsModels - commonly used package for statistical methods and algorithms.
Scikit-learn - Most popular and easy to understand library filled with machine learning algorithms. A good start for beginners and practitioners working with smaller data loads.
RPy2 - A cross between Python and R. Allows you to call R functions from within Python.
NLTK (Natural Language Toolkit) - this toolkit in Python has functions and methods for text analysis.13
Finally program running perfectly 👍
But wait.... Lets add another feature...
New feature needs updated matplotlib...
Lost support with numpy😫🤔
Updated numpy 😫
Run program again...
Core dumped (segmentation fault)😶😶
Time to leave this planet10
after beginning to learn numpy , i believe these packages were really created by some clown of a circus xD.
Everything is sooooo entertaining!!!
i learned java 3 years ago, but today if i had to crap out some crazy java or c++ expert , i would tell him about numpy's arrays...
Like , "hey dude python has this cool data structure in the numpy library called arrays, which can hold any datatypes in a kind of arraylist like fashion, and you can convert them from 1 dimensional to 1000 dimensional in just 1 line , and also do you know we can select any column with just array[position]? and even this position does not needs to be an integer, you can use a list , like array[[1,2,3]] will give you elements at array,array,array, and...."
wait, why is my friend dead ? xD
When you encounter a bug in your code while writing a test and you have absolutely no idea what's wrong...
...and then you see it's a type problem.
I love python, but I hate dealing with python dependencies, especially on Windows.
I was tinkering and researching with neural networks, so I wanted to try out pybrain. I wrote my project, with pybrain installed via pip, and tried to build it.
Oh, what's that? Pybrain doesn't work with python 3? Well I'll download the version that's supposed to. Oh, that version has a deprecated numpy api? Let me just install those other resources. Oh, that requires a broken module that has no publicly available source?
Let's try python 2. Oh, now that's working, I just need to export environment variables for some "bls source". Some quick Google searching and the only solution that would work is building a bunch of cywgin modules by hand. That's fine, I have an ubuntu partition.
An hour later I'm compiling FORTRAN dependencies on Ubuntu.
Coding time: 1 hour
Dependency time: 3 hours6
Okay! Got my numpy pdf, theano pdf and my theano deep learning pdf! It’s time to get reading for 1111111111111111111111111111111111111 hours. Wow! I’m really getting deep into “deep learning” learning! Ok, I’ll quit now...2
Sorry Google, you got it wrong this time ....
Oh my gosh, look at that function definition ...
Oh my gosh, look at that variable ...
Oh my gosh, look at that zone ...
Oh my gosh, look at that long ...
Oh my gosh, look at that short ...
Oh my gosh, look at that stop ... is more my style.10
Reading through one of my posts I’ve realized how much ego programmers can actually have. Guys, some of you have already mastered or grasped more than just the foundations of the industry standard languages, as well as developed a very solid intuition behind some design patterns and a solid understanding of some frameworks and libraries, say NumPy, say React... we get it.
You don’t have to be such condescending assholes and be offended by some of the jokes we, programming beginners, make to release stress or just to have fun.
You already have some amazing developer and engineering skills. Do not ruin it with such a detrimental attitude; I make this post because I myself have made this mistake, and I still do to this day. But if what I’ve felt reading your comments is what non-programming people feel when around me, I wouldn’t be surprised if I found that some people hated me or just wanted to kill me.
I don’t know if this will get downvot’d or if more people think like this. But I needed to share this, even just as a reflection of my very own attitude.
Thank you for your time,
so, my friend was telling me, his ex texted him and asked, I'm quoting,
'How to install numpy and pandas in python?'
she wanted to try machine learning !!1
My main focus Is data analysis. Being a physics student I do quite a lot of this using the likes of numpy and matplotlib, or GNU Octave.6
Fuck yeah ... I have uploaded my major computation file to S3 and create Lambdas from those files(includes numpy and pandas also) and now I have only routes and invoke strategies in my EC3 .. looking for cost reduction....
So, I'm using Vpython for my physics class.
The good thing is that I love that. The bad thing is that the last update to vpython was in 2015.
Well, I update my system yesterday and apparently one of the libraries got an API update and that broke Vpython and can't be used again T.T
I'm trying to fix the code at the moment ;-;1
Who on earth decided, that float64 is a suitable default datatype for one-hot vectors in numpy?
That's what I deserve for relying on reasonable implicit behaviour1
I want to manipulate CSV files with Python and I was using NumPy, what I want to do is 3 columns, with an undetermined number of rows, and I want to be able to remove, add and edit every value, this is my questions:
Should I use NumPy? (if yes, please tell me how, I've been searching on google and I couldn't find anything of help! If not, please tell me what I should use,)4